- Scientific Visualization
- Statistical Visualization
- Interactive Data Visualization
- Visualization (Computer Graphics)
- Pandas (Python Package)
- Data Visualization
- Graphing
- Scatter Plots
- Matplotlib
- NumPy
- Data Visualization Software
- Python Programming
Applied Plotting, Charting & Data Representation in Python
Completed by Matthew Eben Rigby
April 20, 2017
24 hours (approximately)
Matthew Eben Rigby's account is verified. Coursera certifies their successful completion of Applied Plotting, Charting & Data Representation in Python
What you will learn
Describe what makes a good or bad visualization
Understand best practices for creating basic charts
Identify the functions that are best for particular problems
Create a visualization using matplotlb
Skills you will gain
